Future of Life Institute Podcast
The Future of Life Institute (FLI) is a nonprofit working to reduce global catastrophic and existential risk from powerful technologies. In particular, FLI focuses on risks from artificial intelligence (AI), biotechnology, nuclear weapons and climate change. The Institute's work is made up of three main strands: grantmaking for risk reduction, educational outreach, and advocacy within the United Nations, US government and European Union institutions. FLI has become one of the world's leading voices on the governance of AI having created one of the earliest and most influential sets of governance principles: the Asilomar AI Principles.
Episodes
Randi Weingarten is president of the American Federation of Teachers. She joins the podcast to discuss AI in education. The conversation covers how screens and student-facing AI may weaken attention, learning, and trust, why she supports limiting screens for young children and social chatbots for students under 16, and how teachers can use AI without replacing thinking. She also discusses active learning, data privacy, independent ...
Dex Hunter-Torricke is founder of the Centre for Tomorrow. He joins the podcast to discuss why AI governance needs to move beyond technical fixes. The conversation covers how AI companies make decisions, why policymakers often misunderstand agents and economic change, and how automation could reshape jobs, welfare, taxation, and global trade. Dex argues that societies need broader political planning before a crisis drives rushed ch...
Claire Boine is an assistant professor in technology, law, and AI governance at the European University Institute. She joins the podcast to discuss AI companions and human attachment. The conversation examines how design choices and free-to-start business models can foster dependency, expose intimate data, and blur the lines between therapy, romance, and manipulation. We also cover risks for children and teens, gaps in EU and US la...
Michael Toscano is a Senior Fellow at the Institute for Family Studies and Director of its Family First Technology Initiative. He joins the podcast to discuss family-centered AI policy. The conversation covers AI companions, self-harm risks, sexualized chatbots, education, smartphones in schools, and why "infinite patience" can harm children's growth. Toscano also explains Catholic social teaching, public pushback against rapid AI ...
Anthony Aguirre is the CEO of the Future of Life Institute. He joins the podcast to discuss A Better Path for AI, his essay series on steering AI away from races to replace people. The conversation covers races for attention, attachment, automation, and superintelligence, and how these can concentrate power and undermine human agency. Anthony argues for purpose-built AI tools under meaningful human control, with liability, access l...
Charlie Bullock is a Senior Research Fellow at the Institute for Law and AI. He joins the podcast to discuss radical optionality: how governments can prepare for very advanced AI without locking in premature rules. The conversation covers why law often trails technology, and how transparency, reporting, evaluations, cybersecurity standards, and expanded technical hiring could help. We also discuss private oversight, state versus fe...
Peter Wildeford is Head of Policy at the AI Policy Network, and a top AI forecaster. He joins the podcast to discuss how to forecast AI progress and what current trends imply for the economy and national security. Peter argues AI is neither a bubble nor a normal technology, and we examine benchmark trends, adoption lags, unemployment and productivity effects, and the rise of cyber capabilities. We also cover robotics, export contro...
Carina Prunkl is a researcher at Inria. She joins the podcast to discuss how to assess the capabilities and risks of general-purpose AI. We examine why systems can solve hard coding and math problems yet still fail at simple tasks, why pre-deployment tests often miss real-world behavior, and how faster capability gains can increase misuse risks. The conversation also covers de-skilling, red teaming, layered safeguards, and warning ...
Li-Lian Ang is a team member at Blue Dot Impact. She joins the podcast to discuss how society can build a workforce to protect humanity from AI risks. The conversation covers engineered pandemics, AI-enabled cyber attacks, job loss and disempowerment, and power concentration in firms or AI systems. We also examine Blue Dot's defense-in-depth framework and how individuals can navigate rapid, uncertain AI progress.
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Emilia Javorsky is a physician-scientist and Director of the Futures Program at the Future of Life Institute.
She joins the podcast to discuss her newly published essay on AI and cancer. She challenges tech claims that superintelligence will cure cancer, explaining why biology’s complexity, poor data, and misaligned incentives are bigger bottlenecks than raw intelligence. The conversation covers realistic roles for AI in...
Tech executives have promised that AI will cure cancer. The reality is more complicated — and more hopeful. This essay examines where AI genuinely accelerates cancer research, where the promises fall short, and what researchers, policymakers, and funders need to do next.
You can read the full essay at: curecancer.ai
CHAPTERS:
(00:00) Essay Preview
(00:54) How AI Can, and Can't, Cure Cancer
(17:05) Reckoning with Past Failures
(35:2...
Zak Stein is a researcher focused on child development, education, and existential risk. He joins the podcast to discuss the psychological harms of anthropomorphic AI. We examine attention and attachment hacking, AI companions for kids, loneliness, and cognitive atrophy. Our conversation also covers how we can preserve human relationships, redesign education, and build cognitive security tools that keep AI from undermining our huma...
Andrea Miotti is the founder and CEO of Control AI, a nonprofit. He joins the podcast to discuss efforts to prevent extreme risks from superintelligent AI. The conversation covers industry lobbying, comparisons with tobacco regulation, and why he advocates a global ban on AI systems that can outsmart and overpower humans. We also discuss informing lawmakers and the public, and concrete actions listeners can take.
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Ryan Kidd is a co-executive director at MATS. This episode is a cross-post from "The Cognitive Revolution", hosted by Nathan Labenz. In this conversation, they discuss AGI timelines, model deception risks, and whether safety work can avoid boosting capabilities. Ryan outlines MATS research tracks, key researcher archetypes, hiring needs, and advice for applicants considering a career in AI safety. Learn more about Ryan's work and M...
Deric Cheng is Director of Research at the Windfall Trust. He joins the podcast to discuss how AI could reshape the social contract and global economy. The conversation examines labor displacement, superstar firms, and extreme wealth concentration, and asks how policy can keep workers empowered. We discuss resilient job types, new tax and welfare systems, global coordination, and a long-term vision where economic security is decoup...
Oly Sourbut is a researcher at the Future of Life Foundation. He joins the podcast to discuss AI for human reasoning. We examine tools that use AI to strengthen human judgment, from collective fact-checking and scenario planning to standards for honest AI reasoning and better coordination. We also discuss how we can keep humans central as AI scales, and what it would take to build trustworthy, society-wide sensemaking.
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Nora Ammann is a technical specialist at the Advanced Research and Invention Agency in the UK. She joins the podcast to discuss how to steer a slow AI takeoff toward resilient and cooperative futures. We examine risks of rogue AI and runaway competition, and how scalable oversight, formal guarantees and secure code could support AI-enabled R&D and critical infrastructure. Nora also explains AI-supported bargaining and public go...
David Duvenaud is an associate professor of computer science and statistics at the University of Toronto. He joins the podcast to discuss gradual disempowerment in a post-AGI world. We ask how humans could lose economic and political leverage without a sudden takeover, including how property rights could erode. Duvenaud describes how growth incentives shape culture, why aligning AI to humanity may become unpopular, and what better ...
Stephen Adler is a former safety researcher at OpenAI. He joins the podcast to discuss how to govern increasingly capable AI systems. The conversation covers competitive races between AI companies, limits of current testing and alignment, mental health harms from chatbots, economic shifts from AI labor, and what international rules and audits might be needed before training superintelligent models.
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Tyler Johnston is Executive Director of the Midas Project. He joins the podcast to discuss AI transparency and accountability. We explore applying animal rights watchdog tactics to AI companies, the OpenAI Files investigation, and OpenAI's subpoenas against nonprofit critics. Tyler discusses why transparency is crucial when technical safety solutions remain elusive and how public pressure can effectively challenge much larger compa...
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